Master of Science

Data Science for Business

Learn how to use information technology, statistics, mathematics, and machine learning to enhance productivity, and become an experienced programmer with the ability to design efficient data science workflows, truly contributing towards creating sustainable business value.

What will you learn?

Due to the digital revolution, data science has become a strategic necessity in virtually all areas of society, including business. However, data science alone cannot help us formulate and identify business-relevant questions and problems. For this purpose, sound business knowledge is crucial.

The programme is designed to give you a broad and solid understanding of theories and concepts central to business, such as organizational behaviour, strategy, risk management, supply chain optimization, marketing, and sustainability. You will also learn how to efficiently organize data science workflows using a wide range of data types, such as time series and text, and code and operate machine learning tools ranging from simple linear and non-linear regression and classification models to deep learning. This interdisciplinary programme will challenge and enhance your technical and quantitative skills, and improve your ability to propose, execute, and communicate analytical solutions to complex problems.

Research centre for the future of data science

Simula@BI is a research centre that focuses on applied and fundamental research in data science, with a special focus on applications in the intersection between business and data science. The partnership between BI and Simula Research Laboratory aims at strengthening the link between statistical methodology and machine learning, and between algorithms and high-impact applications of particular relevance to society. By studying data science at BI you will build your degree on this knowledge. 

Popular courses covered in this programme

Supply chain illustration
Supply chain illustration

Supply Chain Optimization with Mathematical Programming

Learn how to use and apply mathematical programming to solve complex supply chain optimisation problems.

MArketing illustration
MArketing illustration

Marketing and the Analysis of Experiments and Quasi-experiments

Understand fundamental marketing principles and gain theoretical and practical knowledge enabling you to create business value using causal experiments.

Analytical economy
Analytical economy

Trends, Cycles, and Signal Extraction from a Macroeconomic Perspective

Understand key macroeconomic concepts and how numerical trend, cycle and signal extraction methods can be used to address important macroeconomic questions.

Social media illustration
Social media illustration

Advanced Regression and Classification Analysis, Ensemble Methods and Neural Networks

Expand your machine learning toolbox by obtaining advanced knowledge and skills on topics such as advanced regression and classification analysis, ensemble methods and neural networks.

Career Possibilities

With a Master of Science in Data Science for Business degree, you will have specialized training in data science combined with core business knowledge and skills, responding to growing industry demand and societal needs. Some examples of types of positions and roles that you could qualify for are data science positions within different industry areas, such as banking, consulting, insurance, technology, innovation and more. You could also contribute in different departments within companies, connecting data and programming to strategy decisions, workforce analytics, business innovation and intelligence etc.

Customise your degree

As a master student at BI, you have several exciting opportunities that will contribute to varied and interesting student life, at the same time as you build relevant competence and gain an advantage in the job market by tailoring your degree.

Programme Structure

The academic year at BI is divided into two semester, one in the autumn and one in spring. There are exams at the end of each semester. This programme structure provides an overview of which courses you will be taking and when you will be taking them.

Please be aware that the study plan and courses can be subject to change.